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Article: Road pricing modeling for hyper-congestion

TitleRoad pricing modeling for hyper-congestion
Authors
KeywordsMathematical Models
Motor Transportation
Roads And Streets
Shock Waves
Traffic Control
Issue Date2005
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/tra
Citation
Transportation Research Part A: Policy And Practice, 2005, v. 39 n. 7-9, p. 705-722 How to Cite?
AbstractRecently there has been a resurgence in the interest of road pricing. Most studies adopt the static modeling paradigm, typically using either separable monotone or backward-bending link travel time functions for the analysis. In this study, through the shockwave analysis, we show that separable backward-bending functions are not appropriate for modeling hyper-congestion and hence road pricing. In the absence of queue spillback, link travel time is a monotone increasing function of inflow. However, in the presence of queue spillback, we show that the static paradigm even with a monotone travel time function cannot adequately portray the congestion phenomenon. In some cases, the tolls determined by the static paradigm can be even detrimental, worsening rather than alleviating the congestion problem. In the end, to model congested networks properly, perhaps one has no other choices but to adopt a modeling paradigm that faithfully captures both the temporal as well as the spatial dimensions of traffic queuing. © 2005 Elsevier Ld. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/91195
ISSN
2015 Impact Factor: 1.994
2015 SCImago Journal Rankings: 1.810
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLo, HKen_HK
dc.contributor.authorSzeto, WYen_HK
dc.date.accessioned2010-09-17T10:14:42Z-
dc.date.available2010-09-17T10:14:42Z-
dc.date.issued2005en_HK
dc.identifier.citationTransportation Research Part A: Policy And Practice, 2005, v. 39 n. 7-9, p. 705-722en_HK
dc.identifier.issn0965-8564en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91195-
dc.description.abstractRecently there has been a resurgence in the interest of road pricing. Most studies adopt the static modeling paradigm, typically using either separable monotone or backward-bending link travel time functions for the analysis. In this study, through the shockwave analysis, we show that separable backward-bending functions are not appropriate for modeling hyper-congestion and hence road pricing. In the absence of queue spillback, link travel time is a monotone increasing function of inflow. However, in the presence of queue spillback, we show that the static paradigm even with a monotone travel time function cannot adequately portray the congestion phenomenon. In some cases, the tolls determined by the static paradigm can be even detrimental, worsening rather than alleviating the congestion problem. In the end, to model congested networks properly, perhaps one has no other choices but to adopt a modeling paradigm that faithfully captures both the temporal as well as the spatial dimensions of traffic queuing. © 2005 Elsevier Ld. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/traen_HK
dc.relation.ispartofTransportation Research Part A: Policy and Practiceen_HK
dc.subjectMathematical Modelsen_HK
dc.subjectMotor Transportationen_HK
dc.subjectRoads And Streetsen_HK
dc.subjectShock Wavesen_HK
dc.subjectTraffic Controlen_HK
dc.titleRoad pricing modeling for hyper-congestionen_HK
dc.typeArticleen_HK
dc.identifier.emailSzeto, WY:ceszeto@hku.hken_HK
dc.identifier.authoritySzeto, WY=rp01377en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.tra.2005.02.019en_HK
dc.identifier.scopuseid_2-s2.0-21644443105en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-21644443105&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume39en_HK
dc.identifier.issue7-9en_HK
dc.identifier.spage705en_HK
dc.identifier.epage722en_HK
dc.identifier.isiWOS:000230981700009-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLo, HK=7202085473en_HK
dc.identifier.scopusauthoridSzeto, WY=7003652508en_HK

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